eprintid: 827 rev_number: 19 eprint_status: archive userid: 35 dir: disk0/00/00/08/27 datestamp: 2011-09-07 13:28:16 lastmod: 2013-03-05 15:44:11 status_changed: 2011-09-07 13:28:16 type: article metadata_visibility: show item_issues_count: 0 creators_name: Tsaftaris, Sotirios A. creators_name: Tang, Richard creators_name: Klein, Rachel creators_name: Li, Debiao creators_name: Dharmakumar, Rohan creators_id: sotirios.tsaftaris@imtlucca.it creators_id: creators_id: creators_id: creators_id: title: Visualizing regional myocardial oxygenation changes with statistically optimal colormaps ispublished: pub subjects: QA76 subjects: RC subjects: TK divisions: CSA full_text_status: none note: from 12th Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions Orlando, FL, USA. 29 January–1 February 2009 abstract: Blood-oxygen-level dependent (BOLD) MRI may be used for detecting myocardial oxygenation (MO) changes secondary to coronary artery stenosis. Under pharmacological stress, areas in the myocardium supplied by a stenotic coronary artery are hypointense relative to healthy regions. Visualizing these changes requires manual windowing. In this paper a method for automatic visualization of myocardial signal changes reflecting the regional variations in oxygenation is presented, using images obtained from a canine study under controlled conditions. The objective of this study is to overcome the rather subjective step of windowing by establishing an optimal colormap that permits visualization of statistical changes in signal intensities between healthy and pathological cases. date: 2009 publication: Journal of cardiovascular magnetic resonance volume: 11 number: Suppl publisher: Society for cardiovascular magnetic resonance pagerange: P276 id_number: 10.1186/1532-429X-11-S1-P276 refereed: TRUE issn: 1532-429X official_url: http://jcmr-online.com/content/11/S1/P276 citation: Tsaftaris, Sotirios A. and Tang, Richard and Klein, Rachel and Li, Debiao and Dharmakumar, Rohan Visualizing regional myocardial oxygenation changes with statistically optimal colormaps. Journal of cardiovascular magnetic resonance, 11 (Suppl ). P276. ISSN 1532-429X (2009)